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L. Gabrielli, Furletti, B., Giannotti, F., Nanni, M., and Rinzivillo, S., “Use of mobile phone data to estimate visitors mobility flows”, in Proceedings of MoKMaSD, 2014.
L. Gabrielli, Fadda, D., Rossetti, G., Nanni, M., Piccinini, L., Pedreschi, D., Giannotti, F., and Lattarulo, P., “Discovering Mobility Functional Areas: A Mobility Data Analysis Approach”, in International Workshop on Complex Networks, 2018.
L. Gabrielli, Furletti, B., Trasarti, R., Giannotti, F., and Pedreschi, D., “City users’ classification with mobile phone data”, in IEEE Big Data, Santa Clara (CA) - USA, 2015.
D. Gambetta, Mauro, G., and Pappalardo, L., “Mobility Constraints in Segregation Models”, Scientific Reports, vol. 13, p. 12087, 2023.
A. Gargantini, Riccobene, E., and Rinzivillo, S., “Using Spin to Generate Tests from ASM Specifications”, in Abstract State Machines, 2003, pp. 263-277.
F. Giannotti and Latella, D., “Gate Splitting in LOTOS Specifications Using Abstract Interpretation”, Sci. Comput. Program., vol. 23, pp. 127-149, 1994.
F. Giannotti, Raffaetà, A., Renso, C., and Turini, F., “Complex Reasoning on Geographical Data”, in SEBD, 2001, pp. 331-338.
F. Giannotti, Gozzi, C., and Manco, G., “Clustering Transactional Data”, in SEBD, 2001, pp. 163-176.
F. Giannotti, Manco, G., and Turini, F., “Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study”, in PKDD, 2001, pp. 128-139.
F. Giannotti, Gozzi, C., and Manco, G., “Clustering Transactional Data”, in PKDD, 2002, pp. 175-187.
F. Giannotti, “Invited talk: Logical Data Mining Query Languages”, in KDID, 2002, p. 1.
F. Giannotti, Naretto, F., and Bodria, F., “Explainable for Trustworthy AI”, in Human-Centered Artificial Intelligence - Advanced Lectures, 18th European Advanced Course on AI, ACAI 2021, Berlin, Germany, October 11-15, 2021, extended and improved lecture notes, 2021.
F. Giannotti, Raffaetà, A., Renso, C., and Turini, F., “Complex Reasoning on Geographical Data”, in SEBD, 2001, pp. 331-338.
F. Giannotti and Manco, G., “LDL-M$_{\mbox{ine}}$: Integrating Data Mining with Intelligent Query Answering”, in JELIA, 2002, pp. 517-520.
F. Giannotti, Nanni, M., and Pedreschi, D., “Efficient Mining of Temporally Annotated Sequences”, in SDM, 2006.
F. Giannotti, Nanni, M., Pedreschi, D., Pinelli, F., Renso, C., Rinzivillo, S., and Trasarti, R., “Mobility data mining: discovering movement patterns from trajectory data”, in Computational Transportation Science, 2010, pp. 7-10.
F. Giannotti, Gozzi, C., and Manco, G., “Characterizing Web User Accesses: A Transactional Approach to Web Log Clustering”, in ITCC, 2002, p. 312.
F. Giannotti, Greco, S., Saccà, D., and Zaniolo, C., “Programming with Non-Determinism in Deductive Databases”, Ann. Math. Artif. Intell., vol. 19, pp. 97-125, 1997.
F. Giannotti, Nanni, M., Pedreschi, D., and Pinelli, F., “Mining sequences with temporal annotations”, in SAC, 2006, pp. 593-597.
F. Giannotti, Lakshmanan, L. V. S., Monreale, A., Pedreschi, D., and Wang, H. Wendy, “Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases”, IEEE Systems Journal, 2013.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., “Datalog++: a Basis for Active Object.Oriented Databases”, in SEBD, 1997, pp. 325-340.
F. Giannotti, Nanni, M., Pedreschi, D., and Samaritani, F., “WebCat: Automatic Categorization of Web Search Results”, in SEBD, 2003, pp. 507-518.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., “Datalog++: A Basis for Active Object-Oriented Databases”, in DOOD, 1997, pp. 283-301.
F. Giannotti, Gabrielli, L., Pedreschi, D., and Rinzivillo, S., “Understanding human mobility with big data”, in Solving Large Scale Learning Tasks. Challenges and Algorithms, Springer International Publishing, 2016, pp. 208–220.
F. Giannotti, Lakshmanan, L. V. S., Monreale, A., Pedreschi, D., and Wang, H. Wendy, “Privacy-preserving data mining from outsourced databases.”, in the 3rd International Conference on Computers, Privacy, and Data Protection: An element of choice , 2011.

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